An optimization model for smart and sustainable distributed permutation flow shop scheduling

Fathollahi-Fard, Amir M., Woodward, Lyne et Akhrif, Ouassima. 2024. « An optimization model for smart and sustainable distributed permutation flow shop scheduling ». In 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023) (Lisbon, Portugal, Nov. 22-24, 2023) Coll. « Procedia Computer Science », vol. 232. pp. 21-31. Elsevier B.V..
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Résumé

Smart production scheduling has gained significant attention due to advancements in industrial informatics and technologies that enable the monitoring, control, and adaptation of task scheduling in response to disruptive events. These events can include machine breakdowns, variations in task processing times, and the arrival of new or unexpected tasks. Concurrently, sustainable production scheduling aims to optimize task scheduling by considering economic, environmental, and social factors. This paper introduces a novel optimization model for the development of smart and sustainable production scheduling in a distributed permutation flow shop. The proposed model aims to minimize the makespan while simultaneously limiting the number of lost working days and energy consumption. It also strives to increase job opportunities within acceptable limits. To evaluate the proposed model, we conduct numerical simulations using various examples and a real-case study focusing on auto workpiece production. The results demonstrate the superior performance of the proposed model. Sensitivity analyses are performed to assess the model's ability to deal with disruptions and uncertainties while satisfying economic, environmental, and social considerations.

Type de document:	Compte rendu de conférence
Professeur:	Professeur Woodward, Lyne
Affiliation:	Génie électrique
Date de dépôt:	10 mai 2024 18:59
Dernière modification:	13 mai 2024 15:04
URI:	https://espace2.etsmtl.ca/id/eprint/28616

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